On the public citation graph

A dynamic fog service provisioning approach for IoT applications

https://doi.org/10.1002/dac.4541
0 signed · 68 inferred · view as graph

Inferred edges come from two machine sources: sweeps of open repository metadata (mostly SSRN and Zenodo), and a bulk OpenAlex citation snapshot. Every row below is labelled with the one it came from. Neither is a complete citation index — absence here is not evidence of absence.

Is this your work? Sign in with ORCID and put your name on the claims that are yours.
Claim with ORCID
Reference health. See whether every reference in this work resolves to a known work and none has been retracted — and get a dated CiteStamped badge you can embed.
See reference health

What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

inferredcites →https://doi.org/10.1002/dac.3537openalex-snapshot
A learning‐based approach for virtual machine placement in cloud data centers
inferredcites →https://doi.org/10.1002/dac.3799openalex-snapshot
A reliable, secure, and energy efficient smart grid node allocation algorithm for heterogeneous network scenarios
inferredcites →https://doi.org/10.1002/dac.4068openalex-snapshot
Multiobjective virtual machine placement mechanisms using nature‐inspired metaheuristic algorithms in cloud environments: A comprehensive review
inferredcites →https://doi.org/10.1002/ett.3770openalex-snapshot
An efficient task scheduling approach using moth‐flame optimization algorithm for cyber‐physical system applications in fog computing
inferredcites →https://doi.org/10.1007/s10586-016-0574-9openalex-snapshot
An autonomic approach for resource provisioning of cloud services
inferredcites →https://doi.org/10.1007/s10723-019-09491-1openalex-snapshot
Resource Management Approaches in Fog Computing: a Comprehensive Review
inferredcites →https://doi.org/10.1007/s11227-017-2083-xopenalex-snapshot
Efficient and dynamic scaling of fog nodes for IoT devices
inferredcites →https://doi.org/10.1007/s11227-018-2274-0openalex-snapshot
Design and energy-efficient resource management of virtualized networked Fog architectures for the real-time support of IoT applications
inferredcites →https://doi.org/10.1007/s11227-018-2656-3openalex-snapshot
LP-WSC: a linear programming approach for web service composition in geographically distributed cloud environments
inferredcites →https://doi.org/10.1016/j.future.2016.12.037openalex-snapshot
Semantic service provisioning for smart objects: Integrating IoT applications into the web
inferredcites →https://doi.org/10.1016/j.future.2017.02.022openalex-snapshot
An autonomic resource provisioning approach for service-based cloud applications: A hybrid approach
inferredcites →https://doi.org/10.1016/j.future.2018.05.015openalex-snapshot
Toward integrated Cloud–Fog networks for efficient IoT provisioning: Key challenges and solutions
inferredcites →https://doi.org/10.1016/j.future.2019.10.018openalex-snapshot
Deadline-based dynamic resource allocation and provisioning algorithms in Fog-Cloud environment
inferredcites →https://doi.org/10.1016/j.iot.2019.100118openalex-snapshot
Transformative effects of IoT, Blockchain and Artificial Intelligence on cloud computing: Evolution, vision, trends and open challenges
inferredcites →https://doi.org/10.1016/j.jnca.2017.01.012openalex-snapshot
MIST: Fog-based data analytics scheme with cost-efficient resource provisioning for IoT crowdsensing applications
inferredcites →https://doi.org/10.1016/j.jnca.2017.09.002openalex-snapshot
Survey on fog computing: architecture, key technologies, applications and open issues
inferredcites →https://doi.org/10.1016/j.jnca.2019.06.002openalex-snapshot
An autonomous resource provisioning framework for massively multiplayer online games in cloud environment
inferredcites →https://doi.org/10.1016/j.jss.2017.10.033openalex-snapshot
Monitoring self-adaptive applications within edge computing frameworks: A state-of-the-art review
inferredcites →https://doi.org/10.1016/j.jss.2019.04.058openalex-snapshot
ROUTER: Fog enabled cloud based intelligent resource management approach for smart home IoT devices
inferredcites →https://doi.org/10.1049/iet-net.2018.5067openalex-snapshot
Performance modelling and analysis of Internet of Things enabled healthcare monitoring systems
inferredcites →https://doi.org/10.1080/0952813x.2017.1310308openalex-snapshot
An efficient approach for improving virtual machine placement in cloud computing environment
inferredcites →https://doi.org/10.1109/access.2018.2866491openalex-snapshot
Fog Computing: Survey of Trends, Architectures, Requirements, and Research Directions
inferredcites →https://doi.org/10.1109/access.2019.2932462openalex-snapshot
ControCity: An Autonomous Approach for Controlling Elasticity Using Buffer Management in Cloud Computing Environment
inferredcites →https://doi.org/10.1109/comst.2017.2771153openalex-snapshot
A Comprehensive Survey on Fog Computing: State-of-the-Art and Research Challenges
inferredcites →https://doi.org/10.1109/icc.2018.8422788openalex-snapshot
Auto-Scaling VNFs Using Machine Learning to Improve QoS and Reduce Cost
inferredcites →https://doi.org/10.1109/jiot.2019.2896311openalex-snapshot
FOGPLAN: A Lightweight QoS-Aware Dynamic Fog Service Provisioning Framework
inferredcites →https://doi.org/10.1109/jiot.2020.2966405openalex-snapshot
The Fog Development Kit: A Platform for the Development and Management of Fog Systems
inferredcites →https://doi.org/10.1109/mcc.2017.25openalex-snapshot
A Cooperative Fog Approach for Effective Workload Balancing
inferredcites →https://doi.org/10.1109/mcom.2018.1701322openalex-snapshot
City of Things: Enabling Resource Provisioning in Smart Cities
inferredcites →https://doi.org/10.1109/tcc.2019.2903240openalex-snapshot
Cost-Efficient Resource Provisioning for Dynamic Requests in Cloud Assisted Mobile Edge Computing
inferredcites →https://doi.org/10.1109/tii.2018.2799230openalex-snapshot
A Lightweight Autoscaling Mechanism for Fog Computing in Industrial Applications
inferredcites →https://doi.org/10.1109/tii.2018.2846549openalex-snapshot
Adaptive Fog Configuration for the Industrial Internet of Things
inferredcites →https://doi.org/10.1109/tnet.2019.2906638openalex-snapshot
Hierarchical Capacity Provisioning for Fog Computing
inferredcites →https://doi.org/10.1109/tnsm.2018.2888481openalex-snapshot
QoS-Aware Fog Resource Provisioning and Mobile Device Power Control in IoT Networks
inferredcites →https://doi.org/10.1109/tsc.2019.2895037openalex-snapshot
FogSpot: Spot Pricing for Application Provisioning in Edge/Fog Computing
inferredcites →https://doi.org/10.1109/tsc.2019.2962682openalex-snapshot
An Efficient Resource Monitoring Service for Fog Computing Environments
inferredcites →https://doi.org/10.1109/tsc.4629386openalex-snapshot
IEEE Transactions on Services Computing
inferredcites →https://doi.org/10.1155/2019/8172698openalex-snapshot
Markov Approximation for Task Offloading and Computation Scaling in Mobile Edge Computing
inferredcites →https://doi.org/10.3390/a11090134openalex-snapshot
Multi-Level Elasticity for Wide-Area Data Streaming Systems: A Reinforcement Learning Approach
inferredcites →https://doi.org/10.3390/s19132954openalex-snapshot
A Micro-Level Compensation-Based Cost Model for Resource Allocation in a Fog Environment
inferredcites →https://doi.org/10.4018/ijfc.2019070104openalex-snapshot
Resource Provisioning and Scheduling Techniques of IoT Based Applications in Fog Computing

What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

inferred← citeshttps://doi.org/10.1002/ett.4342openalex-snapshot
A proactive fog service provisioning framework for Internet of Things applications: An autonomic approach
inferred← citeshttps://doi.org/10.1002/ett.4479openalex-snapshot
Continuous lightweight authentication according group priority and key agreement for Internet of Things
inferred← citeshttps://doi.org/10.1002/ett.4631openalex-snapshot
A cost‐aware approach for cloud federation formation
inferred← citeshttps://doi.org/10.1002/spe.2939openalex-snapshot
An autonomous IoT service placement methodology in fog computing
inferred← citeshttps://doi.org/10.1007/s10586-024-04873-xopenalex-snapshot
A cost-aware IoT application deployment approach in fog computing
inferred← citeshttps://doi.org/10.1007/s10723-022-09622-1openalex-snapshot
An Autonomous Evolutionary Approach to Planning the IoT Services Placement in the Cloud-Fog-IoT Ecosystem
inferred← citeshttps://doi.org/10.1007/s11063-021-10708-2openalex-snapshot
Solving the Multi-Objective Problem of IoT Service Placement in Fog Computing Using Cuckoo Search Algorithm
inferred← citeshttps://doi.org/10.1007/s11227-022-04338-1openalex-snapshot
Classification of resource management approaches in fog/edge paradigm and future research prospects: a systematic review
inferred← citeshttps://doi.org/10.1007/s11227-022-04521-4openalex-snapshot
A self-learning approach for proactive resource and service provisioning in fog environment
inferred← citeshttps://doi.org/10.1007/s11227-022-04725-8openalex-snapshot
A pricing approach for optimal use of computing resources in cloud federation
inferred← citeshttps://doi.org/10.1007/s12652-023-04527-7openalex-snapshot
Fuzzy Q-learning approach for autonomic resource provisioning of IoT applications in fog computing environments
inferred← citeshttps://doi.org/10.1007/s13369-024-09661-8openalex-snapshot
Quantum ML-Based Cooperative Task Orchestration in Dew-Assisted IoT Framework
inferred← citeshttps://doi.org/10.1016/j.eswa.2023.121501openalex-snapshot
RETRACTED: Distributed IoT services placement in fog environment using optimization-based evolutionary approaches
inferred← citeshttps://doi.org/10.1016/j.eswa.2025.127214openalex-snapshot
Reinforcement learning-based solution for resource management in fog computing: A comprehensive survey
inferred← citeshttps://doi.org/10.1016/j.jpdc.2022.12.001openalex-snapshot
Optimal placement of applications in the fog environment: A systematic literature review
inferred← citeshttps://doi.org/10.1016/j.sysarc.2021.102362openalex-snapshot
Resource provisioning in edge/fog computing: A Comprehensive and Systematic Review
inferred← citeshttps://doi.org/10.1080/01969722.2022.2145665openalex-snapshot
Pre-Distribution Encryption Key Scheme for Communicating between IoT Device Layer and Fog Layer
inferred← citeshttps://doi.org/10.1080/08839514.2021.2008149openalex-snapshot
An Evolutionary Multi-objective Optimization Technique to Deploy the IoT Services in Fog-enabled Networks: An Autonomous Approach
inferred← citeshttps://doi.org/10.1080/08839514.2022.2055394openalex-snapshot
Dynamic Resource Allocation Using Improved Firefly Optimization Algorithm in Cloud Environment
inferred← citeshttps://doi.org/10.1108/ijicc-06-2024-0253openalex-snapshot
An automatic IoT application placement using an improved equilibrium optimizer algorithm in fog computing
inferred← citeshttps://doi.org/10.1109/access.2023.3281348openalex-snapshot
Resource Provisioning Using Meta-Heuristic Methods for IoT Microservices With Mobility Management
inferred← citeshttps://doi.org/10.1109/access.2024.3390723openalex-snapshot
A Secure and Distributed Placement for Quality of Service-Aware IoT Requests in Fog-Cloud of Things: A Novel Joint Algorithmic Approach
inferred← citeshttps://doi.org/10.1109/ojies.2022.3149093openalex-snapshot
Dynamical Orchestration and Configuration Services in Industrial IoT Systems: An Autonomic Approach
inferred← citeshttps://doi.org/10.1155/2021/7179374openalex-snapshot
The Applicability of Reinforcement Learning Methods in the Development of Industry 4.0 Applications
inferred← citeshttps://doi.org/10.14445/23488549/ijece-v10i8p109openalex-snapshot
Intelligent Resource Provisioning and Optimization in Fog Computing using Deep Reinforcement Learning
inferred← citeshttps://doi.org/10.14569/ijacsa.2022.0131049openalex-snapshot
ACT on Monte Carlo FogRA for Time-Critical Applications of IoT
inferred← citeshttps://doi.org/10.3390/s25030687openalex-snapshot
Machine Learning-Based Resource Management in Fog Computing: A Systematic Literature Review
Editorial review for independent work. ICSAC — the Institute for Complexity Science and Advanced Computing — runs a structured editorial panel for researchers publishing outside journals, and publishes on CiteStamp rails. Submission is free and goes through ORCID: icsacinstitute.org/submit.